Financial Resilience for an AI-Disrupted Economy
This page is a structured working draft — real analysis, not yet expanded with the full expert sourcing given to the flagship pages. Safe to build on; treat specifics as provisional until sourced.
The specific risk this addresses
Unlike a generic emergency fund, AI-era financial resilience is about concentration risk: a household whose income, investments, and career capital are all tied to one AI-exposed sector, employer, or asset class carries meaningfully more risk than an otherwise identical household with more diversification.
Core protocol
- Maintain 3–6 months of expenses in liquid, immediately accessible form, held separately from any single employer’s stock or sector-concentrated investments.
- Diversify across asset classes with different correlation to an AI-capex or AI-labor shock — broad index exposure, hard assets, and cash equivalents rather than concentration in one company or theme.
- If household income depends heavily on a single AI-exposed profession, treat that as a documented risk: build a retraining fund and a concrete alternate-income plan before a layoff notice, not after.
- Reassess insurance coverage (disability, income protection) with an eye toward a faster-than-usual labor transition, not just the traditional risks those policies were designed around.
What this protocol is not
It’s not a call to panic-sell into “AI-proof” assets or predict specific winners and losers — that kind of market timing has a poor track record regardless of the underlying cause of disruption. The goal is resilience to a range of outcomes, not a bet on any one of them.
Revisiting the plan
Treat this as a living plan, reviewed every 6–12 months against the labor-market data in Impact on Humanity — the picture is still moving, and a plan built on 2024 assumptions may already be stale.